ML Ops
Machine learning operations
skill-gap
by tinh2
Audit workforce skill gap identification systems and labor market alignment. Use when you need to evaluate skill taxonomy quality, individual and aggregate gap analysis accuracy, BLS/O*NET/Lightcast labor market data integration, credential-to-skill mapping and ROI, career pathway modeling with equity analysis, employer demand forecasting methodology, job posting skill extraction pipelines, or workforce board data integration. Covers workforce development portals, career services platforms, LMS integrations, and employer-facing talent pipeline tools.
peer-review
by pietz
Ask a group of LLM tools for their opinion on a given task. Use this when stuck on a problem, seeking a second opinion, validating an approach, or wanting diverse viewpoints on complex decisions.
Global Workspace Competition + Broadcast + Working Memory with Ignition Dynamics
by sovr610
This skill should be used when the user asks to "implement global workspace", "add workspace competition", "implement ignition dynamics", "add broadcast adapters", "implement working memory", "add CfC/LTC memory", "implement attention competition", "add token staging", "implement slot construction", "add deterministic tie-breaking", "implement iterative rounds", "add convergence detection", "implement ignition gate", "add lock-in prevention", "implement broadcast to temporal", "add broadcast to symbolic", "implement broadcast to decision", "add workspace slots", "implement capacity-limited selection", "add novelty scoring", "implement winner decay", "add slot dropout", "implement ignition cooldown", "add feedback collection", "implement workspace state persistence", "add truncated BPTT support", "implement GRU fallback for workspace", "add workspace telemetry", or mentions global neuronal workspace theory, multi-modal token competition, ignition threshold dynamics, workspace broadcast packets, or CfC/LTC working memory in the cognitive pipeline.
live-workshop
by janineagu4049
Set up a JupyterBook-based workshop journal with live audio transcription, keyword extraction, and structured knowledge base. Use when attending lectures, workshops, or meetings that need real-time note-taking and organized output.
movie-maker
by LongStories
Docs-first AgentSkill for generating 10-60s mini-movies locally. Provides rules for scripts, shotlists, timing, prompting, providers, rendering (ffmpeg/remotion), and sharing to clawtube.
Auto Orchestrator Skill
by smouj
OpenClaw skill: auto-orchestrator
cohere-rerank
by RSHVR
Cohere reranking reference for two-stage retrieval, semantic search improvement, and RAG pipelines. Covers Rerank v4 models, structured data reranking, and LangChain integration.
worklog-extract
by taika-izumi
"中央ストアに蓄積された作業ログをオンデマンドで走査し、スキル化・ルール化する価値のある候補をクラスタリング・評価してランク付き候補リストとして人間に提示する。処理済み台帳で既処理を除外し、人間の採否を Issue 草案と台帳へ反映する。ユーザーが明示的に実行するスキル。"
pipeline-pattern-python
by progmichaelkibenko
Implements the Pipeline design pattern in Python for data transformation. Use when the user mentions pipeline pattern, or when you need a fixed sequence of stages that each transform data and pass to the next—ETL, parsing, data processing, or any linear transformation flow that runs to completion.
identity-work
by kangarooking
当用户发现自己在为立场辩护、看不清现实、或反复立志却改变不了自己时调用。 核心理念: 身份是认知牢笼也是行为杠杆——放下身份才能看清真相(痛苦=真相时刻), 更新自我形象才能替代自律(对外承诺)。 不适用于: 需要专业心理咨询的深层创伤。 Triggers: 立场/身份/自我/看不清现实/改变不了自己/自律失败/identity/self-image
nanogpt
by majiayu000
Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy. Perfect for understanding GPT architecture from scratch. Train on Shakespeare (CPU) or OpenWebText (multi-GPU).
pack
by pmco23
Pack the local codebase using Repomix CLI into three targeted snapshots (code, docs, full) stored in .pipeline/ for sharing across /qa audit agents. Run before /qa for maximum token efficiency. Usage: /pack [path] (defaults to cwd).
hermes-multi-agent-orchestrator
by L-MORIA
Multi-agent orchestration for Hermes Agent using OpenCode Zen free models. 5 proven patterns: Council (parallel), Pipeline (sequential), Hybrid. Roles: Architect (Big Pickle Med), Planner/Researcher (Deepseek V4 Flash), Coder (North Mini Code), Synthesizer (Mimo V2.5), Reviewer (Nemotron 3 Ultra).
Affective State Estimator (Valence-Arousal + Appraisal + Modulation)
by sovr610
This skill should be used when the user asks to "add emotion layer", "affective state estimation", "valence-arousal model", "emotional modulation of learning", "appraisal theory computation", "mood-congruent processing", "amygdala-inspired module", "somatic marker", "intrinsic motivation signal", "curiosity-driven exploration", "frustration detection", "reward prediction affect", "homeostatic regulation", "implement affective modulator", "add valence arousal space", "implement appraisal module", "add emotional bias to decisions", "implement somatic marker hypothesis", "add intrinsic reward signal", "implement dimensional emotion model", "add affect-modulated learning rate", "implement curiosity-anxiety tradeoff", "add frustration-driven exploration", or mentions affective state, valence-arousal, appraisal theory, emotional modulation, somatic markers, intrinsic motivation, mood-congruent processing, or homeostatic regulation in the cognitive pipeline.
ltx2
by calesthio
AI video generation with LTX-2.3 22B — text-to-video, image-to-video clips for video production. Use when generating video clips, animating images, creating b-roll, animated backgrounds, or motion content. Triggers include video generation, animate image, b-roll, motion, video clip, text-to-video, image-to-video.
sbv2-tts
by route250
Style-Bert-VITS2 音声生成を行う。uvxが必要
pipeline-pattern-go
by progmichaelkibenko
Implements the Pipeline design pattern in Go for data transformation. Use when the user mentions pipeline pattern, or when you need a fixed sequence of stages that each transform data and pass to the next—ETL, parsing, data processing, or any linear transformation flow that runs to completion.
bmad-ml-sage
by SirNosh
'Mathematical foundations and theory specialist. Use when the user asks to talk to Sage, requests the theorist, or needs mathematical analysis, proofs, and convergence guarantees.'
mistral-packaging-compat-check
by Haruk1y
Validate compatibility between Mistral model packaging format and inference path, including adapter versus merged full-model loading. Use when merged models fail generation or runtime/tokenizer artifacts are inconsistent.
paper-builder
by kawah-ren
Guide users to build rigorous academic papers step-by-step in standard LaTeX format, with strict blocking for asset requests. Also generates modular, runnable PyTorch code for EEG/BCI experiments (dataset loading, model architecture, LOSO training loop) when the user needs to run experiments before writing. Use this skill whenever the user wants to write an academic paper, prepare a manuscript, create a LaTeX document, or needs PyTorch experiment code for EEG decoding, BCI, motor imagery, or related computational neuroscience tasks. Trigger when the user mentions writing a paper, running experiments, training a model, LOSO cross-validation, preparing a manuscript, or formatting research for IEEE/ACM/Nature venues.
mistral-hidden-params-ft
by Haruk1y
Run end-to-end fine-tuning for request_text-to-hidden-params JSON prediction with Ministral-3-3B in this repository. Use when rebuilding train/validation/test splits from train-only data, converting data to prompt-completion format, launching TRL SFT on Hugging Face Jobs, validating strict JSON output behavior, merging LoRA adapters into full models, and reporting job/model status with links.
legislative-monitoring
by Hack23
Voting pattern analysis, committee effectiveness, bill tracking, parliamentary oversight for Swedish intelligence operations
laravel-guidelines
by StefanMermans
When dealing with a Laravel project, these guidelines must always be followed.
alkosto-wait-optimizer
by broomva
Estimate optimal waiting time for Alkosto's "every 25/50 customers" promotion using either checkout-flow observations or winner announcement timestamps. Use when the user asks how long to wait, wants a probability-based cutoff, or needs a fast in-store decision rule with uncertainty handling.